DEVELOPMENT...

A PHP Error was encountered

Severity: Warning

Message: fopen(/data/log/sql.log): failed to open stream: Permission denied

Filename: models/Log.php

Line Number: 37

Backtrace:

File: /var/www/openml/openml_OS/models/Log.php
Line: 37
Function: fopen

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
Line: 30
Function: sql

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
Line: 104
Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 19
Function: view

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 85
Function: loadpage

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: fopen(/data/log/sql.log): failed to open stream: Permission denied

Filename: models/Log.php

Line Number: 37

Backtrace:

File: /var/www/openml/openml_OS/models/Log.php
Line: 37
Function: fopen

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
Line: 30
Function: sql

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
Line: 124
Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 19
Function: view

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 85
Function: loadpage

File: /var/www/openml/index.php
Line: 337
Function: require_once

A PHP Error was encountered

Severity: Warning

Message: fopen(/data/log/sql.log): failed to open stream: Permission denied

Filename: models/Log.php

Line Number: 37

Backtrace:

File: /var/www/openml/openml_OS/models/Log.php
Line: 37
Function: fopen

File: /var/www/openml/openml_OS/core/MY_Database_Read_Model.php
Line: 30
Function: sql

File: /var/www/openml/openml_OS/views/pages/frontend/t/pre.php
Line: 117
Function: query

File: /var/www/openml/openml_OS/helpers/cms_helper.php
Line: 19
Function: view

File: /var/www/openml/openml_OS/controllers/Frontend.php
Line: 85
Function: loadpage

File: /var/www/openml/index.php
Line: 337
Function: require_once

OpenML
Task
Supervised Classification on credit-approval

Supervised Classification on credit-approval

Task 259 Supervised Classification credit-approval 356 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

356 Runs

Fetching data
Fetching data
Search runs in more detail run
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9121, f_measure: 0.8767, kappa: 0.7529, kb_relative_information_score: 143.501, mean_absolute_error: 0.1957, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8767, predictive_accuracy: 0.8767, prior_entropy: 0.9913, recall: 0.8767, relative_absolute_error: 0.3932, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3318, root_relative_squared_error: 0.6625, scimark_benchmark: 939.5205, usercpu_time_millis: 110, usercpu_time_millis_testing: 110,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8766, kappa: 0.7539, kb_relative_information_score: 172.5696, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8814, predictive_accuracy: 0.8767, prior_entropy: 0.9913, recall: 0.8767, relative_absolute_error: 0.2478, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3512, root_relative_squared_error: 0.7012, scimark_benchmark: 1313.9994, usercpu_time_millis: 100, usercpu_time_millis_training: 100,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8676, kappa: 0.7367, kb_relative_information_score: 168.4991, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.876, predictive_accuracy: 0.8678, prior_entropy: 0.9913, recall: 0.8678, relative_absolute_error: 0.2655, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7259, scimark_benchmark: 882.7843, usercpu_time_millis: 280, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 190,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, f_measure: 0.8586, kappa: 0.7194, kb_relative_information_score: 164.4286, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8691, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.2832, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7497, scimark_benchmark: 1287.514, usercpu_time_millis: 370, usercpu_time_millis_training: 370,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8676, kappa: 0.7367, kb_relative_information_score: 113.8877, mean_absolute_error: 0.279, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.876, predictive_accuracy: 0.8678, prior_entropy: 0.9913, recall: 0.8678, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3422, root_relative_squared_error: 0.6833, scimark_benchmark: 1321.527, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, f_measure: 0.7057, kappa: 0.4197, kb_relative_information_score: 97.2653, mean_absolute_error: 0.2863, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.7302, predictive_accuracy: 0.7137, prior_entropy: 0.9913, recall: 0.7137, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.5351, root_relative_squared_error: 1.0684, scimark_benchmark: 1304.9611, usercpu_time_millis: 80, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 70,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.8631, kappa: 0.7258, kb_relative_information_score: 145.3733, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8645, predictive_accuracy: 0.8634, prior_entropy: 0.9913, recall: 0.8634, relative_absolute_error: 0.3901, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6456, scimark_benchmark: 1355.9413, usercpu_time_millis: 34870, usercpu_time_millis_testing: 140, usercpu_time_millis_training: 34730,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.8721, kappa: 0.7436, kb_relative_information_score: 162.4333, mean_absolute_error: 0.1509, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8727, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3114, root_relative_squared_error: 0.6217, scimark_benchmark: 1073.494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9226, f_measure: 0.8718, kappa: 0.7433, kb_relative_information_score: 156.7009, mean_absolute_error: 0.1638, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8742, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.3291, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3298, root_relative_squared_error: 0.6586, scimark_benchmark: 1346.9602, usercpu_time_millis: 720, usercpu_time_millis_training: 720,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8808, kappa: 0.7612, kb_relative_information_score: 127.8975, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8822, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6344, scimark_benchmark: 1301.9956, usercpu_time_millis: 180, usercpu_time_millis_testing: 30, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, f_measure: 0.7354, kappa: 0.4698, kb_relative_information_score: 106.1891, mean_absolute_error: 0.2679, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.7356, predictive_accuracy: 0.7357, prior_entropy: 0.9913, recall: 0.7357, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.5047, root_relative_squared_error: 1.0077, scimark_benchmark: 1325.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8676, kappa: 0.7367, kb_relative_information_score: 129.2644, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.876, predictive_accuracy: 0.8678, prior_entropy: 0.9913, recall: 0.8678, relative_absolute_error: 0.4803, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.6697, scimark_benchmark: 1335.4072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8985, f_measure: 0.8503, kappa: 0.7006, kb_relative_information_score: 138.5659, mean_absolute_error: 0.2096, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8515, predictive_accuracy: 0.8502, prior_entropy: 0.9913, recall: 0.8502, relative_absolute_error: 0.4211, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.7019, scimark_benchmark: 1290.1085, usercpu_time_millis: 150, usercpu_time_millis_training: 150,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8186, f_measure: 0.8193, kappa: 0.6378, kb_relative_information_score: 146.1114, mean_absolute_error: 0.1806, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8194, predictive_accuracy: 0.8194, prior_entropy: 0.9913, recall: 0.8194, relative_absolute_error: 0.3628, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.425, root_relative_squared_error: 0.8486, scimark_benchmark: 1372.2145, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6052, f_measure: 0.5257, kappa: 0.2041, kb_relative_information_score: 40.2783, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.7435, predictive_accuracy: 0.5903, prior_entropy: 0.9913, recall: 0.5903, relative_absolute_error: 0.823, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.6401, root_relative_squared_error: 1.278, scimark_benchmark: 1368.9272, usercpu_time_millis: 60, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 50,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8955, f_measure: 0.8591, kappa: 0.7178, kb_relative_information_score: 152.2239, mean_absolute_error: 0.1759, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8592, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.3533, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.344, root_relative_squared_error: 0.6868, scimark_benchmark: 1341.2341, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, f_measure: 0.8676, kappa: 0.7367, kb_relative_information_score: 168.4991, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.876, predictive_accuracy: 0.8678, prior_entropy: 0.9913, recall: 0.8678, relative_absolute_error: 0.2655, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7259, scimark_benchmark: 1465.2979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.8352, kappa: 0.6768, kb_relative_information_score: 154.2524, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8618, predictive_accuracy: 0.837, prior_entropy: 0.9913, recall: 0.837, relative_absolute_error: 0.3274, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8061, scimark_benchmark: 1028.5889, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3556, kb_relative_information_score: 0.3982, mean_absolute_error: 0.4971, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.2702, predictive_accuracy: 0.5198, prior_entropy: 0.9913, recall: 0.5198, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.5023, root_relative_squared_error: 1.003, scimark_benchmark: 1054.3694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.8811, kappa: 0.7622, kb_relative_information_score: 149.2193, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.882, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6335, scimark_benchmark: 977.6382, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, build_cpu_time: 1.203, build_memory: 430233216, f_measure: 0.8546, kappa: 0.7087, kb_relative_information_score: 144.4023, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8546, predictive_accuracy: 0.8546, prior_entropy: 0.9913, recall: 0.8546, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6809, scimark_benchmark: 943.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, build_cpu_time: 1.039, build_memory: 2697906504, f_measure: 0.8546, kappa: 0.7087, kb_relative_information_score: 144.4023, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8546, predictive_accuracy: 0.8546, prior_entropy: 0.9913, recall: 0.8546, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6809, scimark_benchmark: 938.8409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, build_cpu_time: 1.165, build_memory: 637373040, f_measure: 0.8546, kappa: 0.7087, kb_relative_information_score: 144.4023, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8546, predictive_accuracy: 0.8546, prior_entropy: 0.9913, recall: 0.8546, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6809, scimark_benchmark: 940.5101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, build_cpu_time: 1.068, build_memory: 394148808, f_measure: 0.8546, kappa: 0.7087, kb_relative_information_score: 144.4023, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8546, predictive_accuracy: 0.8546, prior_entropy: 0.9913, recall: 0.8546, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.341, root_relative_squared_error: 0.6809, scimark_benchmark: 874.2668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9058, build_cpu_time: 0.619, build_memory: 342918440, f_measure: 0.8458, kappa: 0.6913, kb_relative_information_score: 140.9724, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8459, predictive_accuracy: 0.8458, prior_entropy: 0.9913, recall: 0.8458, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3426, root_relative_squared_error: 0.684, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8998, build_cpu_time: 0.055, build_memory: 679222088, f_measure: 0.8283, kappa: 0.6562, kb_relative_information_score: 138.043, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8286, predictive_accuracy: 0.8282, prior_entropy: 0.9913, recall: 0.8282, relative_absolute_error: 0.4098, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3664, root_relative_squared_error: 0.7316, scimark_benchmark: 927.1482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, build_cpu_time: 0.051, build_memory: 691880048, f_measure: 0.8195, kappa: 0.6388, kb_relative_information_score: 141.783, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8203, predictive_accuracy: 0.8194, prior_entropy: 0.9913, recall: 0.8194, relative_absolute_error: 0.3861, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7454, scimark_benchmark: 935.1201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, build_cpu_time: 0.053, build_memory: 33299120, f_measure: 0.8195, kappa: 0.6388, kb_relative_information_score: 141.783, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8203, predictive_accuracy: 0.8194, prior_entropy: 0.9913, recall: 0.8194, relative_absolute_error: 0.3861, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7454, scimark_benchmark: 941.7846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, build_cpu_time: 0.088, build_memory: 1562675440, f_measure: 0.8195, kappa: 0.6388, kb_relative_information_score: 141.783, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8203, predictive_accuracy: 0.8194, prior_entropy: 0.9913, recall: 0.8194, relative_absolute_error: 0.3861, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7454, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9049, build_cpu_time: 0.084, build_memory: 346362104, f_measure: 0.8195, kappa: 0.6388, kb_relative_information_score: 141.783, mean_absolute_error: 0.1922, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8203, predictive_accuracy: 0.8194, prior_entropy: 0.9913, recall: 0.8194, relative_absolute_error: 0.3861, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7454, scimark_benchmark: 941.7891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, build_cpu_time: 0.309, build_memory: 684690872, f_measure: 0.8544, kappa: 0.7083, kb_relative_information_score: 161.9542, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8551, predictive_accuracy: 0.8546, prior_entropy: 0.9913, recall: 0.8546, relative_absolute_error: 0.2943, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3816, root_relative_squared_error: 0.7619, scimark_benchmark: 916.3022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8571, build_cpu_time: 0.256, build_memory: 1665506984, f_measure: 0.8456, kappa: 0.6906, kb_relative_information_score: 158.157, mean_absolute_error: 0.1546, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8462, predictive_accuracy: 0.8458, prior_entropy: 0.9913, recall: 0.8458, relative_absolute_error: 0.3106, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.7835, scimark_benchmark: 934.6076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, build_cpu_time: 0.081, build_memory: 3100138872, f_measure: 0.832, kappa: 0.6635, kb_relative_information_score: 154.2251, mean_absolute_error: 0.1627, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8346, predictive_accuracy: 0.8326, prior_entropy: 0.9913, recall: 0.8326, relative_absolute_error: 0.3268, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.7975, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8677, build_cpu_time: 0.063, build_memory: 902369896, f_measure: 0.8497, kappa: 0.6989, kb_relative_information_score: 156.9918, mean_absolute_error: 0.1577, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8525, predictive_accuracy: 0.8502, prior_entropy: 0.9913, recall: 0.8502, relative_absolute_error: 0.3169, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3883, root_relative_squared_error: 0.7753, scimark_benchmark: 946.9091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, build_cpu_time: 0.031, build_memory: 507348048, f_measure: 0.7882, kappa: 0.5755, kb_relative_information_score: 133.7298, mean_absolute_error: 0.2069, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.7889, predictive_accuracy: 0.7885, prior_entropy: 0.9913, recall: 0.7885, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.8891, scimark_benchmark: 939.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, build_cpu_time: 0.172, build_memory: 1274466328, f_measure: 0.8809, kappa: 0.7613, kb_relative_information_score: 128.7778, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8816, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.6301, scimark_benchmark: 939.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, build_cpu_time: 0.113, build_memory: 1105052616, f_measure: 0.8809, kappa: 0.7613, kb_relative_information_score: 128.7778, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8816, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.6301, scimark_benchmark: 945.5885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, build_cpu_time: 0.092, build_memory: 2622527424, f_measure: 0.8809, kappa: 0.7613, kb_relative_information_score: 128.7778, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8816, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.6301, scimark_benchmark: 872.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, build_cpu_time: 0.173, build_memory: 168888536, f_measure: 0.8809, kappa: 0.7613, kb_relative_information_score: 128.7778, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8816, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.6301, scimark_benchmark: 942.3945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.942, build_cpu_time: 0.114, build_memory: 1463848856, f_measure: 0.8809, kappa: 0.7613, kb_relative_information_score: 128.7778, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8816, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.4805, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3156, root_relative_squared_error: 0.6301, scimark_benchmark: 937.5757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, build_cpu_time: 0.25, build_memory: 1007448888, f_measure: 0.8502, kappa: 0.7008, kb_relative_information_score: 155.7756, mean_absolute_error: 0.1615, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8524, predictive_accuracy: 0.8502, prior_entropy: 0.9913, recall: 0.8502, relative_absolute_error: 0.3244, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3768, root_relative_squared_error: 0.7523, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, build_cpu_time: 0.127, build_memory: 211749608, f_measure: 0.8281, kappa: 0.6572, kb_relative_information_score: 151.3621, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8319, predictive_accuracy: 0.8282, prior_entropy: 0.9913, recall: 0.8282, relative_absolute_error: 0.3401, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.7522, scimark_benchmark: 916.8903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8767, build_cpu_time: 0.043, build_memory: 1563204392, f_measure: 0.8062, kappa: 0.6128, kb_relative_information_score: 135.0719, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8082, predictive_accuracy: 0.8062, prior_entropy: 0.9913, recall: 0.8062, relative_absolute_error: 0.416, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.7975, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, build_cpu_time: 0.019, build_memory: 789717328, f_measure: 0.7752, kappa: 0.5495, kb_relative_information_score: 124.1229, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.7753, predictive_accuracy: 0.7753, prior_entropy: 0.9913, recall: 0.7753, relative_absolute_error: 0.466, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8009, scimark_benchmark: 909.5718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8781, build_cpu_time: 0.01, build_memory: 674976208, f_measure: 0.788, kappa: 0.5752, kb_relative_information_score: 128.7346, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.7894, predictive_accuracy: 0.7885, prior_entropy: 0.9913, recall: 0.7885, relative_absolute_error: 0.4501, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.753, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, build_cpu_time: 0.03, build_memory: 537307544, f_measure: 0.7517, kappa: 0.5093, kb_relative_information_score: 100.5083, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.7761, predictive_accuracy: 0.7577, prior_entropy: 0.9913, recall: 0.7577, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8581, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, build_cpu_time: 0.029, build_memory: 1582407352, f_measure: 0.7517, kappa: 0.5093, kb_relative_information_score: 100.5083, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.7761, predictive_accuracy: 0.7577, prior_entropy: 0.9913, recall: 0.7577, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8581, scimark_benchmark: 929.5397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, build_cpu_time: 0.031, build_memory: 560472848, f_measure: 0.7517, kappa: 0.5093, kb_relative_information_score: 100.5083, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.7761, predictive_accuracy: 0.7577, prior_entropy: 0.9913, recall: 0.7577, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8581, scimark_benchmark: 943.2074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, build_cpu_time: 0.031, build_memory: 745802616, f_measure: 0.7517, kappa: 0.5093, kb_relative_information_score: 100.5083, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.7761, predictive_accuracy: 0.7577, prior_entropy: 0.9913, recall: 0.7577, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8581, scimark_benchmark: 908.8705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8071, build_cpu_time: 0.035, build_memory: 566340024, f_measure: 0.7517, kappa: 0.5093, kb_relative_information_score: 100.5083, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.7761, predictive_accuracy: 0.7577, prior_entropy: 0.9913, recall: 0.7577, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.8581, scimark_benchmark: 937.9119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, build_cpu_time: 9.697, build_memory: 1015793960, f_measure: 0.8503, kappa: 0.7004, kb_relative_information_score: 157.5316, mean_absolute_error: 0.1592, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8509, predictive_accuracy: 0.8502, prior_entropy: 0.9913, recall: 0.8502, relative_absolute_error: 0.3198, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3334, root_relative_squared_error: 0.6656, scimark_benchmark: 939.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9267, build_cpu_time: 20.397, build_memory: 694702608, f_measure: 0.8635, kappa: 0.7267, kb_relative_information_score: 164.5845, mean_absolute_error: 0.1419, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8638, predictive_accuracy: 0.8634, prior_entropy: 0.9913, recall: 0.8634, relative_absolute_error: 0.285, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3382, root_relative_squared_error: 0.6752, scimark_benchmark: 940.3132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, build_cpu_time: 38.333, build_memory: 97351488, f_measure: 0.8766, kappa: 0.7538, kb_relative_information_score: 168.5692, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.88, predictive_accuracy: 0.8767, prior_entropy: 0.9913, recall: 0.8767, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3441, root_relative_squared_error: 0.687, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, build_cpu_time: 74.775, build_memory: 1477473424, f_measure: 0.8679, kappa: 0.7355, kb_relative_information_score: 168.0681, mean_absolute_error: 0.1335, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.868, predictive_accuracy: 0.8678, prior_entropy: 0.9913, recall: 0.8678, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7021, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, build_cpu_time: 155.754, build_memory: 67306360, f_measure: 0.8723, kappa: 0.7444, kb_relative_information_score: 169.0322, mean_absolute_error: 0.1316, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8726, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.2643, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3551, root_relative_squared_error: 0.7091, scimark_benchmark: 937.9406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, build_cpu_time: 114.251, build_memory: 614389176, f_measure: 0.8502, kappa: 0.7, kb_relative_information_score: 160.3166, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8502, predictive_accuracy: 0.8502, prior_entropy: 0.9913, recall: 0.8502, relative_absolute_error: 0.3011, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.7708, scimark_benchmark: 899.4388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8604, build_cpu_time: 57.658, build_memory: 427091984, f_measure: 0.8459, kappa: 0.6915, kb_relative_information_score: 158.5178, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8462, predictive_accuracy: 0.8458, prior_entropy: 0.9913, recall: 0.8458, relative_absolute_error: 0.3086, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.7814, scimark_benchmark: 939.0159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8673, build_cpu_time: 29.392, build_memory: 123185176, f_measure: 0.8459, kappa: 0.6915, kb_relative_information_score: 159.3935, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8462, predictive_accuracy: 0.8458, prior_entropy: 0.9913, recall: 0.8458, relative_absolute_error: 0.3048, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3876, root_relative_squared_error: 0.7739, scimark_benchmark: 941.4057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, build_cpu_time: 13.414, build_memory: 90298920, f_measure: 0.8458, kappa: 0.6913, kb_relative_information_score: 158.8936, mean_absolute_error: 0.153, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8459, predictive_accuracy: 0.8458, prior_entropy: 0.9913, recall: 0.8458, relative_absolute_error: 0.3074, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.7688, scimark_benchmark: 942.0692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9053, build_cpu_time: 7.088, build_memory: 520807736, f_measure: 0.8459, kappa: 0.6915, kb_relative_information_score: 159.2094, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8462, predictive_accuracy: 0.8458, prior_entropy: 0.9913, recall: 0.8458, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.7541, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9268, build_cpu_time: 1.065, build_memory: 135048768, f_measure: 0.8811, kappa: 0.7623, kb_relative_information_score: 166.5887, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8828, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.2822, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6456, scimark_benchmark: 913.3372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, build_cpu_time: 4.239, build_memory: 245283216, f_measure: 0.8723, kappa: 0.7447, kb_relative_information_score: 167.9537, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.874, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.2691, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3451, root_relative_squared_error: 0.6891, scimark_benchmark: 902.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9246, build_cpu_time: 8.422, build_memory: 301385960, f_measure: 0.8591, kappa: 0.7184, kb_relative_information_score: 163.4867, mean_absolute_error: 0.1435, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8612, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.2883, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.37, root_relative_squared_error: 0.7388, scimark_benchmark: 873.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, build_cpu_time: 17.936, build_memory: 328138000, f_measure: 0.8767, kappa: 0.7534, kb_relative_information_score: 171.0306, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.878, predictive_accuracy: 0.8767, prior_entropy: 0.9913, recall: 0.8767, relative_absolute_error: 0.2562, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.7033, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, build_cpu_time: 0.217, build_memory: 787513960, f_measure: 0.8459, kappa: 0.6919, kb_relative_information_score: 158.1635, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8475, predictive_accuracy: 0.8458, prior_entropy: 0.9913, recall: 0.8458, relative_absolute_error: 0.3132, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.6799, scimark_benchmark: 893.4088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, build_cpu_time: 0.21, build_memory: 358109040, f_measure: 0.8459, kappa: 0.6919, kb_relative_information_score: 158.1635, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8475, predictive_accuracy: 0.8458, prior_entropy: 0.9913, recall: 0.8458, relative_absolute_error: 0.3132, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.6799, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, build_cpu_time: 0.394, build_memory: 1763805088, f_measure: 0.8459, kappa: 0.6919, kb_relative_information_score: 158.1635, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8475, predictive_accuracy: 0.8458, prior_entropy: 0.9913, recall: 0.8458, relative_absolute_error: 0.3132, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3405, root_relative_squared_error: 0.6799, scimark_benchmark: 906.6607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, build_cpu_time: 0.279, build_memory: 1688602784, f_measure: 0.8327, kappa: 0.6651, kb_relative_information_score: 151.0033, mean_absolute_error: 0.1711, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8332, predictive_accuracy: 0.8326, prior_entropy: 0.9913, recall: 0.8326, relative_absolute_error: 0.3436, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.722, scimark_benchmark: 916.1588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, build_cpu_time: 0.094, build_memory: 312049984, f_measure: 0.8546, kappa: 0.7087, kb_relative_information_score: 152.8443, mean_absolute_error: 0.1696, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8546, predictive_accuracy: 0.8546, prior_entropy: 0.9913, recall: 0.8546, relative_absolute_error: 0.3406, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.6899, scimark_benchmark: 935.6292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9169, build_cpu_time: 0.097, build_memory: 113308992, f_measure: 0.8635, kappa: 0.7271, kb_relative_information_score: 167.7343, mean_absolute_error: 0.1339, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8652, predictive_accuracy: 0.8634, prior_entropy: 0.9913, recall: 0.8634, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.6895, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, build_cpu_time: 0.133, build_memory: 2012530504, f_measure: 0.8722, kappa: 0.7438, kb_relative_information_score: 170.5222, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8724, predictive_accuracy: 0.8722, prior_entropy: 0.9913, recall: 0.8722, relative_absolute_error: 0.2568, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3539, root_relative_squared_error: 0.7066, scimark_benchmark: 890.3066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, build_cpu_time: 0.259, build_memory: 910709928, f_measure: 0.859, kappa: 0.7176, kb_relative_information_score: 164.7324, mean_absolute_error: 0.1401, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.859, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.2815, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3723, root_relative_squared_error: 0.7433, scimark_benchmark: 936.1433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.874, build_cpu_time: 0.529, build_memory: 734269544, f_measure: 0.8591, kappa: 0.7178, kb_relative_information_score: 165.9911, mean_absolute_error: 0.1371, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8592, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7318, scimark_benchmark: 943.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, build_cpu_time: 1.326, build_memory: 171407392, f_measure: 0.8458, kappa: 0.6913, kb_relative_information_score: 158.7187, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8459, predictive_accuracy: 0.8458, prior_entropy: 0.9913, recall: 0.8458, relative_absolute_error: 0.3076, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3892, root_relative_squared_error: 0.7772, scimark_benchmark: 939.6298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, build_cpu_time: 0.031, build_memory: 270958080, f_measure: 0.8542, kappa: 0.7079, kb_relative_information_score: 161.8888, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8564, predictive_accuracy: 0.8546, prior_entropy: 0.9913, recall: 0.8546, relative_absolute_error: 0.2951, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7597, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, build_cpu_time: 0.029, build_memory: 156242168, f_measure: 0.8542, kappa: 0.7079, kb_relative_information_score: 161.8888, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8564, predictive_accuracy: 0.8546, prior_entropy: 0.9913, recall: 0.8546, relative_absolute_error: 0.2951, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7597, scimark_benchmark: 920.7965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, build_cpu_time: 0.025, build_memory: 121256248, f_measure: 0.8542, kappa: 0.7079, kb_relative_information_score: 161.8888, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8564, predictive_accuracy: 0.8546, prior_entropy: 0.9913, recall: 0.8546, relative_absolute_error: 0.2951, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7597, scimark_benchmark: 924.6733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, build_cpu_time: 0.087, build_memory: 440598008, f_measure: 0.8899, kappa: 0.7799, kb_relative_information_score: 152.9583, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8916, predictive_accuracy: 0.8899, prior_entropy: 0.9913, recall: 0.8899, relative_absolute_error: 0.3566, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6009, scimark_benchmark: 945.0554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, build_cpu_time: 0.168, build_memory: 55295648, f_measure: 0.8811, kappa: 0.7623, kb_relative_information_score: 154.3304, mean_absolute_error: 0.1727, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8828, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.347, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3073, root_relative_squared_error: 0.6136, scimark_benchmark: 922.3661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, build_cpu_time: 3.967, build_memory: 1020563376, f_measure: 0.8326, kappa: 0.6647, kb_relative_information_score: 151.7763, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8326, predictive_accuracy: 0.8326, prior_entropy: 0.9913, recall: 0.8326, relative_absolute_error: 0.3387, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8042, scimark_benchmark: 919.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8875, build_cpu_time: 1.299, build_memory: 1183608368, f_measure: 0.8282, kappa: 0.656, kb_relative_information_score: 149.4936, mean_absolute_error: 0.1743, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8283, predictive_accuracy: 0.8282, prior_entropy: 0.9913, recall: 0.8282, relative_absolute_error: 0.35, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.7813, scimark_benchmark: 943.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9265, build_cpu_time: 0.183, build_memory: 179363816, f_measure: 0.8855, kappa: 0.7709, kb_relative_information_score: 169.8182, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8861, predictive_accuracy: 0.8855, prior_entropy: 0.9913, recall: 0.8855, relative_absolute_error: 0.2678, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3167, root_relative_squared_error: 0.6323, scimark_benchmark: 935.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9287, build_cpu_time: 0.005, build_memory: 720873600, f_measure: 0.8543, kappa: 0.7081, kb_relative_information_score: 152.9145, mean_absolute_error: 0.1729, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8556, predictive_accuracy: 0.8546, prior_entropy: 0.9913, recall: 0.8546, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.6374, scimark_benchmark: 945.7844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, build_cpu_time: 0.003, build_memory: 709661384, f_measure: 0.8588, kappa: 0.717, kb_relative_information_score: 155.3752, mean_absolute_error: 0.1668, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8597, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.335, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6338, scimark_benchmark: 933.9469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, build_cpu_time: 0.146, build_memory: 639742856, f_measure: 0.8808, kappa: 0.7612, kb_relative_information_score: 127.8975, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8822, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.4828, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6344, scimark_benchmark: 915.0385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, build_cpu_time: 0.008, build_memory: 344410328, f_measure: 0.8676, kappa: 0.7367, kb_relative_information_score: 129.2644, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.876, predictive_accuracy: 0.8678, prior_entropy: 0.9913, recall: 0.8678, relative_absolute_error: 0.4803, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3354, root_relative_squared_error: 0.6697, scimark_benchmark: 920.2722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, build_memory: 190240768, f_measure: 0.8542, kappa: 0.7079, kb_relative_information_score: 161.8888, mean_absolute_error: 0.1469, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8564, predictive_accuracy: 0.8546, prior_entropy: 0.9913, recall: 0.8546, relative_absolute_error: 0.2951, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3805, root_relative_squared_error: 0.7597, scimark_benchmark: 943.1817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, build_cpu_time: 0.091, build_memory: 710243336, f_measure: 0.8676, kappa: 0.7367, kb_relative_information_score: 168.4991, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.876, predictive_accuracy: 0.8678, prior_entropy: 0.9913, recall: 0.8678, relative_absolute_error: 0.2655, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7259, scimark_benchmark: 945.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.862, build_cpu_time: 0.159, build_memory: 1244778944, f_measure: 0.8586, kappa: 0.7194, kb_relative_information_score: 164.4286, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8691, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.2832, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3755, root_relative_squared_error: 0.7497, scimark_benchmark: 940.4464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, build_cpu_time: 0.073, build_memory: 112504120, f_measure: 0.8632, kappa: 0.7279, kb_relative_information_score: 166.4639, mean_absolute_error: 0.1366, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8706, predictive_accuracy: 0.8634, prior_entropy: 0.9913, recall: 0.8634, relative_absolute_error: 0.2743, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3695, root_relative_squared_error: 0.7379, scimark_benchmark: 926.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9182, build_cpu_time: 0.277, build_memory: 43471960, f_measure: 0.859, kappa: 0.7176, kb_relative_information_score: 148.6695, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.859, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.3719, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.6444, scimark_benchmark: 947.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8788, build_cpu_time: 0.002, build_memory: 646322552, f_measure: 0.7517, kappa: 0.5093, kb_relative_information_score: 121.4391, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.7761, predictive_accuracy: 0.7577, prior_entropy: 0.9913, recall: 0.7577, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9077, scimark_benchmark: 940.7816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, build_cpu_time: 0.02, build_memory: 157759408, f_measure: 0.8591, kappa: 0.7178, kb_relative_information_score: 140.7628, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8592, predictive_accuracy: 0.859, prior_entropy: 0.9913, recall: 0.859, relative_absolute_error: 0.4132, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6484, scimark_benchmark: 920.6941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9408, build_cpu_time: 0.019, build_memory: 336742352, f_measure: 0.881, kappa: 0.7615, kb_relative_information_score: 143.4743, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.8812, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.405, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.6107, scimark_benchmark: 930.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8704, build_cpu_time: 0.004, build_memory: 868546992, f_measure: 0.8676, kappa: 0.7367, kb_relative_information_score: 168.4991, mean_absolute_error: 0.1322, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.876, predictive_accuracy: 0.8678, prior_entropy: 0.9913, recall: 0.8678, relative_absolute_error: 0.2655, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3635, root_relative_squared_error: 0.7259, scimark_benchmark: 946.8522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, build_cpu_time: 0.008, build_memory: 581910064, f_measure: 0.8811, kappa: 0.7622, kb_relative_information_score: 149.2193, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.882, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6335, scimark_benchmark: 949.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, build_cpu_time: 0.008, build_memory: 97901032, f_measure: 0.8811, kappa: 0.7622, kb_relative_information_score: 149.2193, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.882, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6335, scimark_benchmark: 922.2602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, build_cpu_time: 0.007, build_memory: 554969400, f_measure: 0.8811, kappa: 0.7622, kb_relative_information_score: 149.2193, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.882, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6335, scimark_benchmark: 947.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, build_cpu_time: 0.006, build_memory: 756817896, f_measure: 0.8811, kappa: 0.7622, kb_relative_information_score: 149.2193, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.882, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6335, scimark_benchmark: 945.6567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, build_cpu_time: 0.007, build_memory: 92227648, f_measure: 0.8811, kappa: 0.7622, kb_relative_information_score: 149.2193, mean_absolute_error: 0.1893, mean_prior_absolute_error: 0.4978, number_of_instances: 227, precision: 0.882, predictive_accuracy: 0.8811, prior_entropy: 0.9913, recall: 0.8811, relative_absolute_error: 0.3803, root_mean_prior_squared_error: 0.5008, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6335, scimark_benchmark: 940.3415,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs